Data report overview

The dataset examined has the following dimensions:

Feature Result
Number of observations 31
Number of variables 3

Checks performed

The following variable checks were performed, depending on the data type of each variable:

  character factor labelled haven labelled numeric integer logical Date
Identify miscoded missing values \(\times\) \(\times\) \(\times\) \(\times\) \(\times\) \(\times\) \(\times\)
Identify prefixed and suffixed whitespace \(\times\) \(\times\) \(\times\) \(\times\)
Identify levels with < 6 obs. \(\times\) \(\times\) \(\times\) \(\times\)
Identify case issues \(\times\) \(\times\) \(\times\) \(\times\)
Identify misclassified numeric or integer variables \(\times\) \(\times\) \(\times\) \(\times\)
Identify outliers \(\times\) \(\times\) \(\times\)

Please note that all numerical values in the following have been rounded to 2 decimals.

Summary table

  Variable class # unique values Missing observations Any problems?
Girth numeric 27 0.00 %
Height numeric 21 0.00 %
Volume numeric 30 0.00 % \(\times\)

Variable list

Girth

Feature Result
Variable type numeric
Number of missing obs. 0 (0 %)
Number of unique values 27
Median 12.9
1st and 3rd quartiles 11.05; 15.25
Min. and max. 8.3; 20.6

Height

Feature Result
Variable type numeric
Number of missing obs. 0 (0 %)
Number of unique values 21
Median 76
1st and 3rd quartiles 72; 80
Min. and max. 63; 87

Volume

Feature Result
Variable type numeric
Number of missing obs. 0 (0 %)
Number of unique values 30
Median 24.2
1st and 3rd quartiles 19.4; 37.3
Min. and max. 10.2; 77

  • Note that the following possible outlier values were detected: "10.2", "10.3".

Report generation information:

  • Created by: okan (username: Okan).

  • Report creation time: Mon Dec 20 2021 18:05:12

  • Report was run from directory: C:/Users/Okan/Documents/GitHub/edpy507

  • dataReporter v1.0.2 [Pkg: 2021-11-11 from CRAN (R 4.0.5)]

  • R version 4.0.4 (2021-02-15).

  • Platform: x86_64-w64-mingw32/x64 (64-bit)(Windows 10 x64 (build 19044)).

  • Function call: makeDataReport(data = trees)